Results 51 to 60 of about 1,988,212 (277)

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

The effectiveness of corpus-based training on collocation use in L2 writing for Chinese senior secondary school students

Journal of China Computer-Assisted Language Learning, 2021
Corpus tools are known to be effective in helping L2 learners improve their writing, especially regarding their use of words. Most corpus-based L2 writing research has focused on university students while little attention has been paid to secondary ...
Fang Liuqin, Ma Qing, Yan Jiahao
doaj   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

Characterisation of precursory seismic activity towards early warning of landslides via semi-supervised learning

Scientific Reports
This study demonstrates that machine learning from seismograms, obtained from commonly deployed seismometers, can identify the early stages of slope failure in the field.
David Murray, Lina Stankovic, Vladimir Stankovic, Stella Pytharouli, Adrian White, Ben Dashwood, Jonathan Chambers   +6 more
doaj   +1 more source

DRASIC: Distributed Recurrent Autoencoder for Scalable Image Compression

, 2019
We propose a new architecture for distributed image compression from a group of distributed data sources. The work is motivated by practical needs of data-driven codec design, low power consumption, robustness, and data privacy. The proposed architecture,
Diao, Enmao, Ding, Jie, Tarokh, Vahid
core   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Data-Driven and Deep Learning Methodology for Deceptive Advertising and Phone Scams Detection

, 2017
The advance of smartphones and cellular networks boosts the need of mobile advertising and targeted marketing. However, it also triggers the unseen security threats.
Huang, TonTon Hsien-De, Kao, Hung-Yu, Yu, Chia-Mu   +2 more
core   +1 more source

Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system

FEBS Open Bio, EarlyView.
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková, Veronika Hovanová, Jiri Damborsky, Erik Sedlák   +3 more
wiley   +1 more source

Data driven semi-supervised learning

, 2021
We consider a novel data driven approach for designing learning algorithms that can effectively learn with only a small number of labeled examples. This is crucial for modern machine learning applications where labels are scarce or expensive to obtain.
Balcan, Maria-Florina, Sharma, Dravyansh
openaire   +2 more sources

PlayPhrase.Me: A multimedia corpus for foreign language education

Technology in Language Teaching & Learning
Technological advancements have not only introduced new tools for language education but also tailored apps and resources for specific language skills.
Ibrahim Halil Topal
doaj   +1 more source